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<div class="title">NEDepthwiseConvolutionLayer.h</div>  </div>
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<a href="_n_e_depthwise_convolution_layer_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_depthwise_convolution_layer3x3_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_depthwise_im2_col_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_depthwise_vector_to_tensor_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_depthwise_weights_reshape_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_direct_convolution_layer_output_stage_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEDirectConvolutionLayerOutputStageKernel.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_fill_border_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFillBorderKernel.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_permute_8h.xhtml">arm_compute/runtime/NEON/functions/NEPermute.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml">   51</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml">NEDepthwiseConvolutionLayer3x3</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a2d926f57bc16961f74798f4207c0b9e2">NEDepthwiseConvolutionLayer3x3</a>();</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ab66cbcc3fcc28a18766f8c60c59b5e75">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info);</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>      _dwc_kernel;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml">NEDirectConvolutionLayerOutputStageKernel</a> _output_stage_kernel;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a>                        _border_handler;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_permute.xhtml">NEPermute</a>                                 _permute_input;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_permute.xhtml">NEPermute</a>                                 _permute_weights;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_permute.xhtml">NEPermute</a>                                 _permute_output;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _accumulator;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _input_nhwc;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _weights_hwio;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _output_nhwc;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="keywordtype">bool</span>                                      _has_bias;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keywordtype">bool</span>                                      _is_quantized;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordtype">bool</span>                                      _is_optimized;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keywordtype">bool</span>                                      _are_weights_reshaped;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;};</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml">   95</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml">NEDepthwiseConvolutionLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml">NEDepthwiseConvolutionLayer</a>();</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ab66cbcc3fcc28a18766f8c60c59b5e75">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info);</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml">NEDepthwiseIm2ColKernel</a>                   _im2col_kernel;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml">NEDepthwiseWeightsReshapeKernel</a>           _weights_reshape_kernel;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">NEGEMMMatrixVectorMultiplyKernel</a>          _v2mm_kernel;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml">NEDepthwiseVectorToTensorKernel</a>           _vector_to_tensor_kernel;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml">NEDirectConvolutionLayerOutputStageKernel</a> _output_stage_kernel;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a>                        _v2mm_input_fill_border;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a>                        _v2mm_weights_fill_border;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _input_reshaped;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _weights_reshaped;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _v2mm_output;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                                    _output_reshaped;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordtype">bool</span>                                      _is_quantized;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;};</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;}</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_n_e_depthwise_convolution_layer3x3_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_depthwise_convolution_layer3x3_kernel_8h.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml">arm_compute::NEDirectConvolutionLayerOutputStageKernel</a></div><div class="ttdoc">NEON kernel to accumulate the biases, if provided, or downscale in case of quantized input...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_layer_output_stage_kernel_8h_source.xhtml#l00036">NEDirectConvolutionLayerOutputStageKernel.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div>
<div class="ttc" id="_n_e_depthwise_im2_col_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_depthwise_im2_col_kernel_8h.xhtml">NEDepthwiseIm2ColKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml">arm_compute::NEGEMMMatrixVectorMultiplyKernel</a></div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_source.xhtml#l00033">NEGEMMMatrixVectorMultiplyKernel.h:33</a></div></div>
<div class="ttc" id="_i_memory_manager_8h_xhtml"><div class="ttname"><a href="_i_memory_manager_8h.xhtml">IMemoryManager.h</a></div></div>
<div class="ttc" id="_n_e_depthwise_vector_to_tensor_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_depthwise_vector_to_tensor_kernel_8h.xhtml">NEDepthwiseVectorToTensorKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEDepthwiseConvolutionLayer3x3::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_permute_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_permute.xhtml">arm_compute::NEPermute</a></div><div class="ttdoc">Basic function to run NEPermuteKernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_permute_8h_source.xhtml#l00036">NEPermute.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="_n_e_fill_border_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_fill_border_kernel_8h.xhtml">NEFillBorderKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml">arm_compute::NEDepthwiseConvolutionLayer3x3</a></div><div class="ttdoc">Basic function to execute a depthwise convolution for kernel size 3x3xC. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_8h_source.xhtml#l00051">NEDepthwiseConvolutionLayer.h:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml">arm_compute::NEDepthwiseWeightsReshapeKernel</a></div><div class="ttdoc">Interface for the depthwise weights reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_weights_reshape_kernel_8h_source.xhtml#l00037">NEDepthwiseWeightsReshapeKernel.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml">arm_compute::NEDepthwiseVectorToTensorKernel</a></div><div class="ttdoc">Interface for the depthwise vector to tensor kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_vector_to_tensor_kernel_8h_source.xhtml#l00040">NEDepthwiseVectorToTensorKernel.h:40</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00491">Types.h:491</a></div></div>
<div class="ttc" id="_n_e_direct_convolution_layer_output_stage_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_direct_convolution_layer_output_stage_kernel_8h.xhtml">NEDirectConvolutionLayerOutputStageKernel.h</a></div></div>
<div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_xhtml_ab66cbcc3fcc28a18766f8c60c59b5e75"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#ab66cbcc3fcc28a18766f8c60c59b5e75">arm_compute::NEDepthwiseConvolutionLayer3x3::configure</a></div><div class="ttdeci">void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &amp;conv_info)</div><div class="ttdoc">Initialize the function&amp;#39;s source, destination, kernels and border_size. </div></div>
<div class="ttc" id="_n_e_depthwise_weights_reshape_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_depthwise_weights_reshape_kernel_8h.xhtml">NEDepthwiseWeightsReshapeKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">arm_compute::NEDepthwiseConvolutionLayer3x3Kernel</a></div><div class="ttdoc">Interface for the kernel to run a 3x3 depthwise convolution on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00037">NEDepthwiseConvolutionLayer3x3Kernel.h:37</a></div></div>
<div class="ttc" id="_n_e_permute_8h_xhtml"><div class="ttname"><a href="_n_e_permute_8h.xhtml">NEPermute.h</a></div></div>
<div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_fill_border_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">arm_compute::NEFillBorderKernel</a></div><div class="ttdoc">Interface for the kernel to fill borders. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_fill_border_kernel_8h_source.xhtml#l00036">NEFillBorderKernel.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_im2_col_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml">arm_compute::NEDepthwiseIm2ColKernel</a></div><div class="ttdoc">Interface for the depthwise im2col reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_im2_col_kernel_8h_source.xhtml#l00038">NEDepthwiseIm2ColKernel.h:38</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_matrix_vector_multiply_kernel_8h.xhtml">NEGEMMMatrixVectorMultiplyKernel.h</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer.xhtml">arm_compute::NEDepthwiseConvolutionLayer</a></div><div class="ttdoc">Basic function to execute a generic depthwise convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_depthwise_convolution_layer_8h_source.xhtml#l00095">NEDepthwiseConvolutionLayer.h:95</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_xhtml_a2d926f57bc16961f74798f4207c0b9e2"><div class="ttname"><a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3.xhtml#a2d926f57bc16961f74798f4207c0b9e2">arm_compute::NEDepthwiseConvolutionLayer3x3::NEDepthwiseConvolutionLayer3x3</a></div><div class="ttdeci">NEDepthwiseConvolutionLayer3x3()</div><div class="ttdoc">Default constructor. </div></div>
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